We decided to launch a page about data analytics, where all our postings about the subject will be gathered together. For a business, and not only, if any criteria used for performance is not measurable and quantified it is not relevant.
If you want to include driver’s efficiency in wage formula then you have to clearly show how it is measured, be transparent about the process and outline the best practices.
If you want to measure the cost-per-customer of your website, you have to measure customer’s behavior, its business cost and to analyze ways on creating value, for you and him. Sometimes, different tools can be employed like Google Ads than simple performance metrics.
Analytics is an important component for applications collecting data and analyzing it in real time, IoT is just a simple example. The deluge of data – where data is the competitive advantage – creates competitive advantages but also huge problems for storing it, querying or even creating reports. The sudden surge in customer’s requests or the crash of the websites under high traffic forced the industry to consider and implement solutions. Besides data modellers and data architects it even created a new job in the industry – DevOps. Ten years ago, that job fell on the shoulder of developers or network admins, right now it has its own tools and ways to confront big problems. It is not only about big data, but about everything related to high surge in resources – storage, memory, bandwidth, computational power:
We will try to show the role of analytics from a few perspectives :